A Comparative Assessment of Advanced Statistical and Machine Learning Techniques for Predicting Electric Vehicles Sales in the United States P Ajidarma, S Gong, LNR Nanduri, R Nateghi Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018 | | 2018 |
A comparison of top-down statistical models with bottom-up methods for power system reliability estimation in high wind events R Nateghi, SD Guikema Vulnerability, Uncertainty, and Risk: Analysis, Modeling, and Management …, 2011 | 5 | 2011 |
A data‐driven approach to assessing supply inadequacy risks due to climate‐induced shifts in electricity demand S Mukherjee, R Nateghi Risk Analysis 39 (3), 673-694, 2019 | 55 | 2019 |
A data‐driven framework to characterize state‐level water use in the United States E Wongso, R Nateghi, B Zaitchik, S Quiring, R Kumar Water Resources Research 56 (9), e2019WR024894, 2020 | 18 | 2020 |
A framework for conceptualizing the performance of and assessing the risks to systems T Nateghi, Roshi, Aven Proceedings of the 25th European Safety and Reliability Conference, ESREL 2015, 2015 | | 2015 |
A multi-hazard approach to assess severe weather-induced major power outage risks in the us S Mukherjee, R Nateghi, M Hastak Reliability Engineering & System Safety 175, 283-305, 2018 | 172 | 2018 |
A multi-paradigm framework to assess the impacts of climate change on end-use energy demand R Nateghi, S Mukherjee PloS one 12 (11), e0188033, 2017 | 59 | 2017 |
A path forward for leveraging social media to improve the study of community resilience B Rachunok, J Bennett, R Flage, R Nateghi International Journal of Disaster Risk Reduction 59, 102236, 2021 | 19 | 2021 |
Acquiring insights into infrastructure repair policy using discrete choice models Y Qiao, TU Saeed, S Chen, R Nateghi, S Labi Transportation Research Part A: Policy and Practice 113, 491-508, 2018 | 26 | 2018 |
Analyzing the climate sensitivity of the coupled water-electricity demand nexus in the Midwestern United States R Obringer, R Kumar, R Nateghi Applied Energy 252, 2019 | 27 | 2019 |
Assessing climate sensitivity of peak electricity load for resilient power systems planning and operation: A study applied to the Texas region P Alipour, S Mukherjee, R Nateghi Energy 185, 1143-1153, 2019 | 54 | 2019 |
Assessing global environmental sustainability via an unsupervised clustering framework A Paulvannan Kanmani, R Obringer, B Rachunok, R Nateghi Sustainability 12 (2), 563, 2020 | 22 | 2020 |
Assessing the sensitivity of power distribution systems in U.S. Metropolitan areas to climate-induced hurricane impacts SM Staid, A., Guikema, S.D., Nateghi, R., Gao, M.Z., Quiring Safety and Reliability of Complex Engineered Systems - Proceedings of the …, 2015 | | 2015 |
Asymmetrical response of California electricity demand to summer-time temperature variation R Kumar, B Rachunok, D Maia-Silva, R Nateghi Scientific reports 10 (1), 10904, 2020 | 25 | 2020 |
Bottom-up forecasting: Applications and limitations in load forecasting using smart-meter data H Anand, R Nateghi, N Alemazkoor Data-Centric Engineering 4, e14, 2023 | 2 | 2023 |
Bridging the Gap between Population Needs and Barriers into Onsite Clinic Use M Ostovari, D Yu, S Xie, Q Ye, B Katare, M Adibuzzaman, KJ Musselman, ... Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60 (1 …, 2016 | | 2016 |
Building an Interdisciplinary Team for Disaster Response Research: A Data-Driven Approach R Nateghi, H Wang | | |
Building an Interdisciplinary Team for Disaster Response Research: A Data-Driven Approach Y Ge, CW Zobel, P Murray‐Tuite, R Nateghi, H Wang Risk Analysis, 2019 | 20 | 2019 |
Characterizing the key predictors of renewable energy penetration for sustainable and resilient communities J Bennett, A Baker, E Johncox, R Nateghi Journal of management in engineering 36 (4), 04020016, 2020 | 23 | 2020 |
Climate Change and Indiana’s Energy Sector: A Report from the Indiana Climate Change Impacts Assessment L Raymond, D Gotham, W McClain, S Mukhopadhyay, R Nateghi, ... | 2 | 2019 |